Remote Data Engineer - & Modeler Informatica

NTT DATA

Plano, USremote country$121k-$224k/yrPosted Jul 8, 2026
Posting intelligenceActively listed

Skills

databrickssnowflakepythonazurespark

About the role

Req ID: 378301

We are currently seeking a Remote Data Engineer - Modeler Informatica to join our team in Plano, Texas (US-TX), United States (US).

Role Overview

We are seeking an Intermediate-Level Data Engineer Data Modeler to focus on designing, building, and maintaining data pipelines and data models that enable scalable, high-quality data products across the organization.

Key Responsibilities

Data Engineering Pipeline Development

Design, build, and maintain ETL/ELT data pipelines for data ingestion and transformation

Develop data integration workflows to support enterprise analytics

Implement scalable data processing frameworks and automation pipelines

Monitor pipeline execution and ensure data availability and reliability

Data Modeling Design

Design logical and physical data models to support business requirements

Define data structures, relationships, and schemas across domains

Develop standardized data layers (e.g., Bronze/Silver/Gold)

Collaborate with stakeholders on data mappings and business logic

Data Integration Quality

Perform source-to-target mapping and transformation design

Implement data quality checks and validation rules

Maintain data lineage, metadata, and documentation

Support integration of enterprise data sources

Production Support Optimization

Provide L2/L3 support for data pipelines

Monitor and optimize pipeline performance

Perform root cause analysis and issue resolution

Support job scheduling and error handling processes

Collaboration Delivery

Work with data architects, analysts, and BI teams

Translate business requirements into technical solutions

Support data platform modernization initiatives

Participate in Agile processes such as sprint planning and code reviews

Basic Qualifications

6+ years of experience in Data Engineering and/or Data Modeling

6+ years of experience building and maintaining enterprise data pipelines

6+ years of experience working with large, complex datasets

Technical Skills

Strong SQL and data modeling expertise

Experience with ETL/ELT tools (Informatica, DataStage, ADF, etc.)

Experience with Python, Spark, or similar frameworks

Familiarity with platforms such as Snowflake, Databricks, or Azure Data Lake

Knowledge of pipeline orchestration and integration patterns

Preferred Qualifications

Experience with Azure-based data platforms

Exposure to data governance and metadata management tools

Experience in healthcare or regulated environments

Experience supporting data modernization initiatives

Key Success Metrics

Reliable and timely pipeline execution

High-quality data models supporting analytics

Improved data quality and reduced errors

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $121,162 - $224,375 per year. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

#LaunchJobs #LI-NorthAmerica #LaunchEngineering

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

Compensation

This Data Engineer role pays $121k-$224k/yr. Within typical range for data engineer roles in United States.

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for Data Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Engineer hub for United States medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.